Suchergebnisse - MapReduce (Distributed parallel programming)

A Study of the Efficiency of Parallel Computing for Constructing Bifurcation Diagrams of the Fractional Selkov Oscillator with Variable Coefficients and Memory.

Autoren: Tverdyi, Dmitriy Parovik, Roman

Quelle: Computation; Feb2026, Vol. 14 Issue 2, p32, 20p

Schlagwörter: PARALLEL programming, BIFURCATION diagrams, NUMERICAL analysis, BENCHMARK problems (Computer science), DISTRIBUTED computing

Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce.

Autoren: Li, Jianjiang Liu, Yajun Pan, Jian et al.

Quelle: Future Generation Computer Systems. Apr2020, Vol. 105, p993-1001. 9p.

Schlagwörter: *PARALLEL programming, *DISTRIBUTED computing, *ELECTRONIC data processing, *BIG data

MapReduce distributed parallel computing framework for diagnosis and treatment of knee joint Kashin-Beck disease.

Autoren: Dang, Chenpo Yi, Guirong Zhu, Zhaomin et al.

Quelle: Journal of Supercomputing. Aug2021, Vol. 77 Issue 8, p9088-9101. 14p.

Schlagwörter: *PARALLEL programming, *JOINT diseases, *DIAGNOSIS, *K-means clustering, *EUCLIDEAN distance, *KNEE

LSH SimilarityJoin Pattern in FastFlow.

Autoren: Tonci, Nicolò Rivault, Sébastien Bamha, Mostafa et al.

Quelle: International Journal of Parallel Programming. Jun2024, Vol. 52 Issue 3, p207-230. 24p.

Schlagwörter: *ELECTRONIC data processing, *PARALLEL programming, *C++, *DATA analysis, *DATA structures, PARALLEL algorithms

MapReduce-based distributed tensor clustering algorithm.

Autoren: Zhang, Hongjun Li, Peng Meng, Fanshuo et al.

Quelle: Neural Computing & Applications. Dec2023, Vol. 35 Issue 35, p24633-24649. 17p.

Schlagwörter: *K-means clustering, *CLUSTER analysis (Statistics), *COMPUTER science, *ALGORITHMS, *PARTITION functions, *PARALLEL processing, *PARALLEL programming

LLM-SPSS: An Efficient LLM-Based Secure Partitioned Storage Scheme in Distributed Hybrid Clouds.

Autoren: Zhou, Ran Che, Bichen Yang, Liangbin

Quelle: Electronics (2079-9292); Jan2026, Vol. 15 Issue 1, p30, 18p

Schlagwörter: HYBRID cloud computing, CLOUD storage, LANGUAGE models, PARALLEL programming, CLASSIFICATION, PARALLEL algorithms, COMPUTER performance

An Algorithm to Optimize Frequent Pattern Mining in Parallel and Distributed Environment.

Autoren: Singla, Anshu Gandhi, Parul

Quelle: Engineering, Technology & Applied Science Research; Jun2025, Vol. 15 Issue 3, p22252-22256, 5p

Schlagwörter: ASSOCIATION rule mining, PARALLEL programming, RELATIONAL databases, DATA mining, ALGORITHMS

Distributed ItemCF Recommendation Algorithm Based on the Combination of MapReduce and Hive.

Autoren: Feng, Yijia Wang, Lei

Quelle: Electronics (2079-9292); Aug2023, Vol. 12 Issue 16, p3398, 20p

Schlagwörter: RECOMMENDER systems, PARALLEL algorithms, DISTRIBUTED algorithms, DATA warehousing, INFRASTRUCTURE (Economics), ALGORITHMS, PARALLEL programming, SOURCE code

Distributed Large Memory and Message Passing Interface in Cloud Environment using OpenStack Cloud Platform.

Autoren: Deshmukh, Pranjali P.

Quelle: Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2, Part 2, p592-596, 5p

Schlagwörter: MESSAGE passing (Computer science), CLOUD computing, VIRTUAL machine systems, MACHINE-to-machine communications, PARALLEL programming, DISTRIBUTED computing

Exponentially Faster Massively Parallel Maximal Matching.

Autoren: BEHNEZHAD, SOHEIL HAJIAGHAYI, MOHAMMADTAGHI HARRIS, DAVID G.

Quelle: Journal of the ACM; Oct2023, Vol. 70 Issue 5, p1-18, 18p

Schlagwörter: RANDOM graphs, DISTRIBUTED computing, PARALLEL programming, GRAPH algorithms, APPROXIMATION algorithms

State of the Art in Parallel and Distributed Systems: Emerging Trends and Challenges.

Autoren: Dai, Fei Hossain, Md Akbar Wang, Yi

Quelle: Electronics (2079-9292); Feb2025, Vol. 14 Issue 4, p677, 39p

Schlagwörter: PARALLEL programming, COMPUTER systems, QUANTUM computing, COMPUTER performance, RESEARCH personnel

Coded Parallel Transmission for Half-Duplex Distributed Computing.

Autoren: Zai, Qixuan Yuan, Kai Wu, Youlong

Quelle: Information. Jul2022, Vol. 13 Issue 7, p342-342. 13p.

Schlagwörter: *Distributed computing, *Computer systems, Linear network coding, Parallel programming

MapReduce: an infrastructure review and research insights.

Autoren: Maleki, Neda Rahmani, Amir Masoud Conti, Mauro

Quelle: Journal of Supercomputing. Oct2019, Vol. 75 Issue 10, p6934-7002. 69p.

Schlagwörter: *DISTRIBUTED computing, *FAULT-tolerant computing, *PARALLEL programming, *META-analysis, *PARALLEL processing, *COMPUTER scheduling

RETRACTED ARTICLE: Implementation of MapReduce parallel computing framework based on multi-data fusion sensors and GPU cluster.

Autoren: Chang, Dajun Li, Li Chang, Ying et al.

Quelle: EURASIP Journal on Advances in Signal Processing; 9/30/2022, Vol. 2021 Issue 1, p1-14, 14p

Schlagwörter: PARALLEL programming, MULTISENSOR data fusion, DETECTORS, BIG data, GRAPHICS processing units, ELECTRONIC data processing

Geografische Kategorien: JAVA (Indonesia)

Research on Efficient Parallel Computing Methods for Industrial Big Data Streams in Agile Low Code Development Environments.

Autoren: Na, Rongcui

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p4705-4730, 26p

Schlagwörter: BIG data, MACHINE learning, RESOURCE allocation, PARALLEL programming, REAL-time computing, ENERGY consumption, AGILE software development

Cloud-based parallel power flow calculation using resilient distributed datasets and directed acyclic graph

Autoren: Dewen WANG Fangfang ZHOU Jiangman LI

Quelle: Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 1, Pp 65-77 (2018)

Schlagwörter: Power flow calculation, Parallel programming model, Distributed memory-shared model, Resilient distributed datasets (RDDs), Directed acyclic graph (DAG), Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Renewable energy sources, TJ807-830

Dateibeschreibung: electronic resource

Relation: http://link.springer.com/article/10.1007/s40565-018-0406-4; https://doaj.org/toc/2196-5625; https://doaj.org/toc/2196-5420

Zugangs-URL: https://doaj.org/article/afed3d3e3fe24eed801984da1b3646ad

A Context-Aware Recommendation System Based on Hadoop Big Data.

Autoren: DARS, Muhammad Ayoob Liu QINGLING Zhang CHAOZHU et al.

Quelle: Studies in Informatics & Control; Mar2025, Vol. 34 Issue 1, p109-122, 14p

Schlagwörter: RECOMMENDER systems, K-means clustering, MOBILE computing, INFORMATION overload, PARALLEL programming, DATA warehousing

Analysis of hadoop MapReduce scheduling in heterogeneous environment.

Autoren: Kalia, Khushboo Gupta, Neeraj

Quelle: Ain Shams Engineering Journal. Mar2021, Vol. 12 Issue 1, p1101-1110. 10p.

Schlagwörter: Parallel programming, Distributed computing, Scheduling

Gene Sequence Input Formatting and MapReduce Computing.

Autoren: Xiaolong Feng Jing Gao

Quelle: International Journal Bioautomation; 2019, Vol. 23 Issue 2, p233-246, 14p

Schlagwörter: SEQUENCE alignment, DISTRIBUTED computing, PARALLEL programming, GENES

PERFORMANCE COMPARISON OF K-MEANS, PARALLEL K-MEANS AND K-MEANS++.

Autoren: Aliguliyev, Ramiz Tahirzada, Shalala F.

Quelle: Reliability: Theory & Applications; 2025 Special Issue, Vol. 20, p169-176, 8p

Schlagwörter: CLUSTERING algorithms, PATTERN recognition systems, DATA structures, PARALLEL programming, MULTICORE processors, K-means clustering